Adding loader for BAF

[guillemcortes]

Adding loader for BAF

Description

Please include the following information at the top level docstring for the dataset's module mydataset.py:

• Describe annotations included in the dataset
• Indicate the size of the datasets (e.g. number files and duration, hours)
• Mention the origin of the dataset (e.g. creator, institution)
• Describe the type of music included in the dataset
• Indicate any relevant papers related to the dataset
• Include a description about how the data can be accessed and the license it uses (if applicable)

Dataset loaders checklist:

• Create a script in scripts/, e.g. make_my_dataset_index.py, which generates an index file.
• Run the script on the canonical version of the dataset and save the index in mirdata/indexes/ e.g. my_dataset_index.json.
• Create a module in mirdata, e.g. mirdata/my_dataset.py
• Create tests for your loader in tests/datasets/, e.g. test_my_dataset.py
• Add your module to docs/source/mirdata.rst and docs/source/table.rst
• Run tests/test_full_dataset.py on your dataset.

If your dataset is not fully downloadable there are two extra steps you should follow:

• Contacting the mirdata organizers by opening an issue or PR so we can discuss how to proceed with the closed dataset. --> Talked to @genisplaja
• Show that the version used to create the checksum is the "canonical" one, either by getting the version from the dataset creator, or by verifying equivalence with several other copies of the dataset.
• Make sure someone has run pytest -s tests/test_full_dataset.py --local --dataset my_dataset once on your dataset locally and confirmed it passes

Please-do-not-edit flag

To reduce friction, we will make commits on top of contributor's pull requests by default unless they use the please-do-not-edit flag. If you don't want this to happen don't forget to add the flag when you start your pull request.

[guillemcortes]

I might need some help passing the failing checks.

• Both buildpy37 and buildpy38 are failing in tests/datasets/test_egfxset.py, a test from another dataset.
• I've ran black --target-version py38 mirdata/ tests/ but I don't pass formatting check.
  I see that @genisplaja is facing the same issues above in PR-576
• readthedocs.org:mirdata check fails due to some error when importing pandas. I see that openmic2018 uses pandas, so I'm wondering if this has happened before. This is the Traceback:

WARNING: autodoc: failed to import module 'baf' from module 'mirdata.datasets'; the following exception was raised:
Traceback (most recent call last):
  File "/home/docs/checkouts/readthedocs.org/user_builds/mirdata/envs/577/lib/python3.7/site-packages/sphinx/ext/autodoc/importer.py", line 70, in import_module
    return importlib.import_module(modname)
  File "/home/docs/checkouts/readthedocs.org/user_builds/mirdata/envs/577/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 728, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/home/docs/checkouts/readthedocs.org/user_builds/mirdata/checkouts/577/mirdata/datasets/baf.py", line 120, in <module>
    import pandas as pd
  File "/home/docs/checkouts/readthedocs.org/user_builds/mirdata/envs/577/lib/python3.7/site-packages/pandas/__init__.py", line 22, in <module>
    from pandas.compat import (
  File "/home/docs/checkouts/readthedocs.org/user_builds/mirdata/envs/577/lib/python3.7/site-packages/pandas/compat/__init__.py", line 15, in <module>
    from pandas.compat.numpy import (
  File "/home/docs/checkouts/readthedocs.org/user_builds/mirdata/envs/577/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py", line 7, in <module>
    from pandas.util.version import Version
  File "/home/docs/checkouts/readthedocs.org/user_builds/mirdata/envs/577/lib/python3.7/site-packages/pandas/util/__init__.py", line 1, in <module>
    from pandas.util._decorators import (  # noqa
  File "/home/docs/checkouts/readthedocs.org/user_builds/mirdata/envs/577/lib/python3.7/site-packages/pandas/util/_decorators.py", line 14, in <module>
    from pandas._libs.properties import cache_readonly  # noqa
  File "/home/docs/checkouts/readthedocs.org/user_builds/mirdata/envs/577/lib/python3.7/site-packages/pandas/_libs/__init__.py", line 13, in <module>
    from pandas._libs.interval import Interval
  File "pandas/_libs/interval.pyx", line 1, in init pandas._libs.interval
TypeError: numpy.dtype is not a type object

[dagett]

About the failing test in test_egfxset.py, looks like it is due to recent librosa release, see #578

[codecov]

Codecov Report

Merging #577 (0bf86c5) into master (c9fd249) will increase coverage by 0.00%.
The diff coverage is 98.03%.

@@           Coverage Diff            @@
##           master     #577    +/-   ##
========================================
  Coverage   96.85%   96.86%            
========================================
  Files          55       57     +2     
  Lines        6705     6818   +113     
========================================
+ Hits         6494     6604   +110     
- Misses        211      214     +3